The Location of Quadruped Robot with Hand-Fused-Foot Based on Binocular Vision

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Abstract:

Robot location is a key technology of quadruped robot with Hand-fused-Foot. The location method based on binocular vision system is studied for quadruped robot with Hand-fused-Foot. After obtaining image by a single camera, the object is segmented by using characteristic extraction method based on color characteristic. Then image processing such as filtering (de-noising) and opening is performed. The object is identified and its centroid coordinate in image is obtained. Location of robot based on environment reference--object coordinate is achieved. Experiments show the effectiveness and the accuracy (within 4cm) of the method.

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Periodical:

Advanced Materials Research (Volumes 694-697)

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1925-1930

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May 2013

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© 2013 Trans Tech Publications Ltd. All Rights Reserved

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[1] Fei Gao, Xinjie Wang. Remote Control Robot System Design and Implementation based on Wireless Network. Manufacturing Automation.Vol.32, No.1, 63-65(2010). In Chinese

Google Scholar

[2] Feng Tan. Research and Implementation of Vision System based on four-leggded Robots (D). Shanghai: Tongji University,2007. In Chinese

Google Scholar

[3] J. Zico Kolter, Youngjun Kim, and Andrew Y. Ng. Stereo Vision and Terrain Modeling forQuadruped Robots. In International Conference on Robotics and Automation (ICRA), 2009.

DOI: 10.1109/robot.2009.5152795

Google Scholar

[4] Liangwen Wang, Xinjie Wang, Xuedong Chen, Weigang Tang. Structure Design of Multi-legged Walking Robots based on Hand-foot-integrated Function. Journal of Huazhong University of Science and Technology (Natural Science Edition).Vol.39, No.5, 18-22(2011). In Chinese

DOI: 10.1109/robio.2007.4522330

Google Scholar

[5] Zhengyou Z. A Flexible New Technique for Camera Calibration. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2000, 22(11):1330-1334P

DOI: 10.1109/34.888718

Google Scholar

[6] Lin mi Tao, Guang Xu. Machine Vision Applications. Chinese Science Bulletin, 2001 (3)

Google Scholar

[7] J. Bruce, T. Balch, M, Velodo. Fast and Inexpensive Color Image Segmentation for Interactive Robots. Proceedings of the 2000 IEEE International Conference on Intelligent Robots and Systems. (2000)

DOI: 10.1109/iros.2000.895274

Google Scholar